Vehicle data collection and verification

Abstract

Disclosed are various embodiments for a data aggregation application. Operational data and image data may be captured from a client device. Odometer readings can be extracted from the image data. The operational data and image data can be verified by comparing an instrument panel depicted in the image data to a known instrument panel depiction.

Therefore, the following is claimed: 
     
       1. A system, comprising:
 at least one computing device; and 
 an application executable in the at least one computing device, the application comprising:
 logic configured to obtain, from a mobile device, a first at least one image data capturing an odometer display of a vehicle; 
 logic configured to generate, from the first at least one image data, an odometer reading; 
 logic configured to associate the odometer reading with the vehicle; 
 logic configured to obtain, from the mobile device, a second at least one image data capturing a unique identifier associated with the vehicle; 
 logic configured to verify that the vehicle corresponds to a vehicle identification as a function of the instrument panel captured in the at least one image data and the unique identifier captured in the second at least one image data; and 
 wherein the unique identifier comprises a vehicle identification number (VIN), a Quick Response (QR) code, a barcode, or other human-readable or machine-readable image. 
 
 
     
     
       2. The system of  claim 1 , wherein the application further comprises:
 logic configured to obtain, from the mobile device, operational data associated with a usage of the vehicle; and 
 logic configured to associate the operational data with the account vehicle. 
 
     
     
       3. The system of  claim 1 , wherein the application further comprises logic configured to determine whether the first at least one image data comprises altered or transformed image data. 
     
     
       4. The system of  claim 1 , wherein the application is a first application, and obtaining the first at least one image data is facilitated by a second application executed in the mobile device, and the application further comprises:
 logic configured to obtain, from the mobile device, user account data associated with the second application; and 
 logic configured to verify that the first at least one image data embodies the odometer reading of a specified vehicle as a function of the user account data. 
 
     
     
       5. The system of  claim 1 , wherein the application further comprises:
 logic configured to obtain, from the mobile device, metadata associated with a context during which the first at least one image data was generated; and 
 logic configured to verify that the first at least one image data embodies the odometer reading of a specified vehicle as a function of the metadata. 
 
     
     
       6. The system of  claim 5 , wherein the application further comprises logic configured to verify the odometer reading as being greater than a temporally earlier odometer reading. 
     
     
       7. The system of  claim 5 , wherein the metadata comprises a wireless carrier identifier, one or more network identifiers, one or more cellular tower identifiers, or a global positioning system location. 
     
     
       8. The system of  claim 1 , wherein the logic configured to identify the vehicle as a function of the instrument panel captured in the first at least one image data further comprises logic configured to compare the first at least one image data to an image knowledge base facilitating an identification of the vehicle. 
     
     
       9. A method, comprising the steps of:
 obtaining, by a computing device, from a mobile device, a first at least one image data capturing an instrument panel of a vehicle; 
 selecting, by the computing device, an account associated with the mobile device and a vehicle identification; 
 obtaining, by the computing device, from the mobile device, a second at least one image data capturing a unique identifier associated with the vehicle; and 
 verifying, by the computing device, that the vehicle corresponds to the vehicle identification as a function of the instrument panel captured in the first at least one image data and the unique identifier captured in the second at least one image data; and 
 wherein the unique identifier comprises a vehicle identification number (VIN), a Quick Response (QR) code, a barcode, or other human-readable or machine-readable image. 
 
     
     
       10. The method of  claim 9 , further comprising the steps of:
 obtaining, by the computing device, from the mobile device, operational data associated with a usage of the vehicle; and 
 associating, by the computing device, the operational data with the account. 
 
     
     
       11. The method of  claim 9 , further comprising the steps of:
 obtaining, by the computing device, from the mobile device, login information associated with the account and an application executed in the mobile device; and 
 wherein the verifying is further performed as a function of the login information. 
 
     
     
       12. The method of  claim 9 , further comprising the steps of:
 obtaining, by the computing device, from the mobile device, metadata associated with a context during which the image data was generated; and 
 wherein the verifying is further performed as a function of the metadata. 
 
     
     
       13. The method of  claim 12 , wherein the metadata comprises a mobile device identifier, an image resolution, or a software version. 
     
     
       14. The method of  claim 12 , wherein the metadata comprises a wireless carrier identifier, one or more network identifiers, one or more cellular tower identifiers, or a global positioning system location. 
     
     
       15. The method of  claim 9 , wherein the first at least one image data further captures an odometer, and the method further comprises:
 generating, by the computing device, an odometer reading from the first at least one image data; and 
 associating, by the computing device, the odometer reading with the account. 
 
     
     
       16. The method of  claim 15 , wherein the step of generating the odometer reading from the first at least one image data further comprises applying, by the computing device, an image recognition algorithm to the at least one image data.